Area and individual level analyses of demographic and socio-economic disparities in COVID-19 vaccination uptake in Belgium

• Published in: Vaccine: X 2024-06, Vol.18, p.100496-100496, Article 100496
• Main Authors: Hubin, Pierre, Van den Borre, Laura, Braeye, Toon, Cavillot, Lisa, Billuart, Matthieu, Stouten, Veerle, Nasiadka, Léonore, Vermeiren, Elias, Van Evercooren, Izaak, Devleesschauwer, Brecht, Catteau, Lucy, van Loenhout, Joris A.F.
• Format: Article
• Language: English
• Subjects: COVID-19 vaccination; Health inequalities; Multilevel analysis; Regular paper; Social determinants of health
• ISSN: 2590-1362; 2590-1362
• DOI: 10.1016/j.jvacx.2024.100496

•Disparities in COVID-19 vaccination are observed at individual and municipality levels.•Most of social disparities in vaccination are captured at the individual level.•Accounting for local effect in individual level analyses improve the analyses. Vaccination has played a major role in overcoming the COVID-19 pandemic. However, vaccination status can be influenced by demographic and socio-economic factors at individual and area level. In the context of the LINK-VACC project, the Belgian vaccine register for the COVID-19 vaccination campaign was linked at individual level with other registers, notably the COVID-19 laboratory test results and demographic and socio-economic variables from the DEMOBEL database. The present article aims at investigating to which extent COVID-19 vaccination status is associated with area level and/or individual level demographic and socio-economic factors. From a sample of all individuals tested for SARS-CoV-2 (LINK-VACC sample) demographic and socio-economic indicators are derived and their impact on vaccination coverages at an aggregated geographical level (municipality) is quantified. The same indicators are calculated for the full Belgian population, allowing to assess the representativeness of the LINK-VACC sample with respect to the impact of demographic and socio-economic disparities on vaccination uptake. In a second step, hierarchical models are fitted to the individual level LINK-VACC data to disentangle the individual and municipality effects allowing to evaluate the added value of the availability of individual level data in this context. The most important effects observed at the individual level are reflected in the aggregated data at the municipality level. Multilevel analyses show that most of the demographic and socio-economic impacts on vaccination are captured at the individual level, although accounting for area level in individual level analyses improve the overall description.